What is AI? Overview & commentary on use cases you want to know now

AI (artificial intelligence) has already permeated many areas of our lives. With the advent of AI, the search engine we use every day, the “recommendation” function that introduces new products that we like on mail order, home appliances and car navigation systems, and the response of call centers, the appearance of AI has changed our lives from the ground up.

However, the reality is that the essence of AI and its meaning are not well understood. In fact, there is a media tone that fuels anxiety, such as “AI will steal your job,” and AI is sometimes perceived as a mysterious existence.

In this article, we will explain what AI can do in the first place, introduce the latest technology trends and examples of its use in business, and explain what you should know about “AI” now.


Table of Contents

What is AI (artificial intelligence)?

AI is an abbreviation for “Artificial Intelligence”, which translates to “artificial intelligence” in Japanese. In general, it is defined as “technology that reproduces human-like intelligence on a computer”, and refers to technology and systems that can produce creative output like the human brain rather than simple calculations . is most of them.

However, there is no clear standard for the definition of AI, such as where it is “creative”. Companies and organizations that develop and provide AI make judgments as to whether it is AI or not, which is a factor that makes the actual state of AI even more ambiguous.

Will AI really take away human jobs?

In recent years, the topic of “AI taking over human jobs” has become a hot topic. Despite the disquieting tone of the phrase, not all jobs will be replaced. AI still has areas that it is not good at, and it is important that it complements human work well.

5 Benefits of Advancing AI

5 Benefits of Advancing AI

AI is a technology that is good at extracting patterns and judgment techniques from large amounts of data and “classifying” new data, so it has the advantage of making things more efficient. Here are its main advantages.

Elimination of labor shortage

According to Persol Research Institute’s “Future Estimates of the Labor Market 2030,” it is estimated that Japan will face a labor shortage of 6.44 million people in 2030, mainly in the service, medical and welfare industries, due to its declining birthrate and aging population. . Therefore, it is expected that AI will be introduced to improve the efficiency of operations and resolve the labor shortage.

Increased productivity

Man-hours and resources can be optimized by utilizing AI. For example, by introducing AI to the inspection process in small-lot, high-mix production, it is possible to improve overall productivity by reducing the workload of inspections and suppressing over-detection.

Cost reduction

By replacing routine work with AI and promoting work efficiency, you can optimize your overall resources. In addition, by using AI to predict market trends and adjust production, we can expect to optimize inventory management.

Increase customer value

By utilizing AI, it is possible to provide higher value to customers. Utilizing AI speakers and recommendation functions will enhance the convenience of the purchasing process. In addition, customer support is available 24 hours a day through the introduction of AI.

Recruitment of personnel suitable for the company

Based on past data using AI, it is possible to select applicants who match your company. Leave the primary screening to AI so recruiters can focus on the important interviews.

Three risks that may occur in the progress of AI

Let’s keep track of the short-term and long-term risks that can occur with the introduction of AI.

decrease in employment

According to “What to do when machines do everything,” published in 2017 by American IT company Cognizant, “In the next 10 to 15 years, American jobs will of which 12% will be replaced by machines.” Currently, AI is beginning to replace simple tasks such as cash registers at some factories and offices in Japan as well.

Accompanied by information leakage and security risks

As the use of AI increases, the security risk of cyberattacks on AI increases. In preparation for information leaks, etc., it is necessary to establish an internal security system.

Black box thinking process

In the deep learning method, the basis for judgment is not clarified for AI output. When performing complex processing at high speed, not knowing the reason for making a decision can be an obstacle.

Five types of AI technologies that are being put to practical use

Applications such as machine learning have made it possible to do a variety of things. We will introduce five types of AI technologies that have already been put into practical use.

image recognition

Among image recognition systems, face recognition systems that detect faces from images and videos and recognize individuals are being put to practical use, and image diagnosis is being introduced in the medical field. It is also used in fields such as autonomous driving technology.

voice recognition

It has been put to practical use in call centers, chatbots, Siri, Google Assistant, etc. In addition, speech recognition using deep learning technology has significantly improved speech recognition because it uses a single neural network to process speech recognition technology, which was performed in four stages in the past.

natural language processing

Natural language processing is what makes it possible for a computer to process the language we use every day. In addition to being able to translate and create articles using natural language processing, it is also used in automatic response systems by combining voice processing and natural language processing.

machine control

AI-based machine control is expected in the manufacturing industry. Sensors, industrial robots, automobiles, construction machinery, etc., make situational decisions based on data, change work content, and perform optimal control.

Predictive analytics

The ability to make predictions based on patterns seen in historical data. It is also used in fields such as finance and medicine, traffic congestion prediction, signal control simulation, and deterioration prediction of infrastructure.

Use Cases of AI

Use Cases of AI

Practical application of AI technology is progressing in various industries. Here are some practical examples of new business models that utilize AI.

Manufacturing example: MUJIN Co., Ltd.

MUJIN Co., Ltd. is a company that provides high value-added automation solutions centered on the intelligent robot controller “MUJIN Controller” based on industrial motion planning AI technology. It enables autonomous operation that does not require programming, and realizes automation of complex processes that used to be done manually.

Retail Case: Air Closet Co., Ltd.

“airCloset” is a proposal-type fashion rental service specializing in casual wear for women.

Promoting unique data utilization based on over 20 million performance data accumulated through the operation of personal styling services. We have opened the “airCloset Data Science Collection” to publish our own data analysis and AI development.

Medical Case: Medmain Co., Ltd.

“PidPort” provided by the company uses AI to analyze pathological image data in a short time using proprietary deep learning technology to detect lesions with ultra-high accuracy.

We digitize glass specimens of pathological tissues and cells, and perform data analysis using AI.

The use cases of AI are introduced in detail in the following articles. If you are interested, please take a look.

Trends to keep in mind and domestic AI ventures

According to IT research and consulting firm ITR, the domestic AI market is expected to grow at an average annual growth rate of 18.7% from 2020 to 2025, and the market size is expected to reach 120 billion yen in 2025. We will introduce new AI trends that will drive this growth, as well as notable AI ventures.

Here are three trends that are closely related to business.

The trend is AI as a useful tool for business

In 2020, the biggest growth in the AI ​​market was the market for machine learning platforms that support self-creation of AI environments. It can be seen that AI technology is shifting from being a tool for some engineers to a tool widely used by business users.

No-code machine learning advances

In the field of machine learning, there is a growing trend to build machine learning applications using drag-and-drop visual interfaces rather than traditional code. Because it can be developed at high speed and at low cost, and can be operated intuitively, even small companies can easily introduce machine learning.

Advances in the use of AI in the security field

The use of AI in the security field will continue to advance. AI technology is already being used in facial recognition, but in the future, behavior-focused surveillance systems will be able to detect threat behavior before it happens.

Chatbots continue to evolve

Advances in natural language processing enable today’s AI to produce high-quality text.

Chatbots, which combine natural language processing and AI tools, will be able to understand the intentions of the speaker instead of executing predetermined commands, enabling communication similar to that of a human being. Utilized in fields such as healthcare, finance, and marketing, the chatbot market is expected to reach $9.4 billion by 2024, according to Business Insider’s forecast.

Representative domestic AI venture companies

Today, AI development is not only handled by major IT companies, but also by many venture companies. We will introduce AI venture companies showing remarkable growth by industry.

AI Development: PKSHA Technology Co., Ltd.

PKSHA Technology is an algorithm development company that utilizes machine learning, deep learning, image recognition, and natural language processing technology. In particular, the company’s HRUS, which adds deep learning to image analysis technology, is used in various terminals as algorithm software for analyzing video data.

Data analysis: BrainPad Co., Ltd.

In 2004, when the word big data analysis was not yet common in Japan, we started as Japan’s first data mining company. Today, we are developing business centered on big data utilization services and digital marketing services, and using data analysis to solve business problems.

Image recognition: Feature Inc.

Ficha (Feature) is a company that develops image recognition software that utilizes deep learning. The company’s technology is used in advanced driving systems and driver systems that utilize image recognition technology. In addition, the AI-OCR engine, which helps improve the efficiency of office work, demonstrates its strengths in accurately recognizing handwritten characters and detecting characters in various formats such as forms.

Marketing support: User Local Co., Ltd.

User Local is a company that develops and provides many tools that support marketing activities, such as analysis tools such as heat maps and SNS word-of-mouth analysis, chatbots, and AI text mining. Chatbots, which interact based on huge amounts of text data, are highly rated for their ability to engage in a wide variety of conversations.

AI companies are also explained in detail in the following articles. If you are interested, please take a look.

Utilize AI to increase the value provided by your company

With the development of AI, many of us have already begun to benefit from it, and it is predicted that the field will continue to expand in the future.

In the future, AI will be involved in various forms even in industries and industries that have not used AI in the past. In doing so, it is important to understand AI correctly and use it correctly. AI is neither a job-killing enemy nor a magic wand that can solve anything. Think of it as a way to better serve your customers.

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